class_docstr: Environment with tuple of discrete spaces at each time step.
code: def __init__(self):
      super().__init__()
      self.current_step = 0
      self.num_cells = 71
      self.action_space = Tuple(
          (
              MultiDiscrete(self.num_cells * [2]),
              MultiDiscrete(self.num_cells * [6]),
          )
      )
      self.horizon = 168
      self._reward = 0.0
  
      self.observation_space = Box(
          low=np.array([0, 0, 0]),
          high=np.array([1, 1, 1]),
          dtype=np.float16,
      )
  
file_path: nevergrad/nevergrad/functions/gym/tuple_gym_env.py
imports: import gym
  import numpy
  from gym.spaces import Box, Tuple, MultiDiscrete
label_desc: Use image node_id 1 to create a new TupleActionSpace object from inherited base classes: gym with example: obj = TupleActionSpace()